Scale.Color
We provide sequential and categorical color schemes designed to work with ordinal and sequential scales. Color types come from avh4/elm-color.
Categorical
Categorical color schemes can be used to encode discrete data values, each representing a distinct category.
A list of eight categorical colors
A list of twelve categorical paired colors
A list of nine categorical pastel colors
A list of eight categorical pastel colors
A list of ten categorical colors
A list of eight colorblind friendly categorical colors
A list of nine categorical colors
A list of eight categorical colors
Sequential Single-Hue
Given a number t in the range [0,1], returns the corresponding color from the color scheme
Sequential color schemes can be used to encode quantitative values. These color ramps are designed to encode increasing numeric values.
Sequential Multi-Hue
Given a number t in the range [0,1], returns the corresponding color from the color scheme
Sequential color schemes can be used to encode quantitative values. These color ramps are designed to encode increasing numeric values, but use additional hues for more color discrimination, which may be useful for visualizations such as heatmaps. However, beware that using multiple hues may cause viewers to inaccurately see the data range as grouped into color-coded clusters.
The “viridis” perceptually-uniform color scheme designed by van der Walt, Smith and Firing for matplotlib.
The “inferno” perceptually-uniform color scheme designed by van der Walt, Smith and Firing for matplotlib.
The “magma” perceptually-uniform color scheme designed by van der Walt, Smith and Firing for matplotlib,.
The “plasma” perceptually-uniform color scheme designed by van der Walt, Smith and Firing for matplotlib.
Diverging
Given a number t in the range [0,1], returns the corresponding color from the color scheme
Diverging color schemes can be used to encode quantitative values with a meaningful mid-point, such as zero or the average value. Color ramps with different hues diverge with increasing saturation to highlight the values below and above the mid-point.
The “Carbon palette1” diverging color scheme, from the Carbon Design System
The red-cyan palette has a natural association with temperature. Use this palette for data representing hot-vs-cold.
The “Carbon palette2” diverging color scheme, from the Carbon Design System
The purple-teal palette is good for data with no temperature associations, such as performance, sales, and rates of change.
Cyclic
Given a number t in the range [0,1], returns the corresponding color from the color scheme
Cyclical color schemes may be used to highlight periodic patterns in continuous data. However, these schemes are not well suited to accurately convey value differences.
The “turbo” color scheme by Anton Mikhailov.
Alert
Alert colors are used to reflect status. Typically, red represents danger or error; orange represents a serious warning; yellow represents a regular warning, and green represents normal or success.
A list of alert colors from the Carbon Design System
A list of ten categorical colors